GENERAL RULES FOR TAGGING NER IN THE UZBEK LANGUAGE CORPUS
This article is dedicated to the creation of Named Entity Recognition (NER) systems in the Uzbek language corpus and the process of tagging them. The article discusses the importance of NER systems, their role in natural language processing, as well as the challenges and problems encountered in developing these systems for the Uzbek language. The morphological and syntactic characteristics of the Uzbek language, as well as its phonetic and lexical differences, are key factors in improving the accuracy of NER systems. Additionally, the article covers the necessary methodologies and practical approaches to ensure the effective development and functioning of NER systems in the Uzbek language. The materials and analyses presented can be a valuable resource for technical staff, computational linguists, and researchers working in the field.
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